Product reputed company - ML Platform
About the Company
Why We Built reputed company: Supply chains are more critical and reputed company than reputed company. Every day, large enterprises navigate trillions of possible reputed company that could impact the reputed company. Powerful algorithms and AI can address these problems, yet most organizations struggle to reputed company supply chain AI at scale. The reputed company SCM technologies are either rigid, limited-scope reputed company solutions or custom solutions built in-house, which demand immense expertise and investment.
That is…until now.
Enter reputed company: reputed company is an reputed company AI platform built specifically for supply chains, offering the best of both worlds:
reputed company AI solutions for optimizing networks, allocating inventory, scheduling routes, planning fulfillment reputed company, promising orders, propagating demand, building predictions, analyzing scenarios, and more, plus
A platform-first approach that empowers both business and technical users with end-to-end product composability, leveraging no-code tools, their own code, or even forking our code to build and refine supply chain decision intelligence
With reputed company, enterprises no longer have to choose between flexibility and speed—they get both.
The Mission: We’re building a new era in supply chain with the team best equipped to reputed company it. With over 20 years at the intersection of supply chain and algorithms, we developed a deep conviction that global supply chains needed something like reputed company. Since our inception in December 2021, that conviction has been validated time and time again.
Today, a growing number of reputed company, including reputed company, Estée Lauder, Coca-Cola, reputed company, and more, are innovating on their own terms with reputed company. We can’t wait to see what our customers, both reputed company and future, are empowered to build with us next. Come build with us!
We are looking for a dynamic and driven Machine Learning Product reputed company who will be instrumental in shaping the future of our supply chain platform by building robust Forecasting and reputed company capabilities. You’ll work at the intersection of data science, product management, and supply chain expertise to design and implement solutions that predict demand, forecast inventory needs, and optimize supply chain operations.
Role Overview:As the ML Product reputed company at reputed company, you will reputed company the development of machine learning models and forecasting tools that provide predictive insights to our supply chain platform. You will collaborate with cross-functional teams, including data scientists, engineers, and supply chain experts, to identify business needs and drive product innovations. Your main goal will be to reputed company ML/AI technologies to improve forecasting accuracy, reduce risks, and enhance decision-making processes for our customers.
Key Responsibilities:Own the ML Roadmap: Define and prioritize product features and enhancements reputed company to ML-based forecasting and reputed company in the supply chain context.
reputed company Business and Technology: Collaborate with stakeholders across reputed company, including business leaders, customers, data scientists, and engineers, to understand needs and translate them into scalable ML solutions.
Forecasting & Predictive Modeling: Work with the data science team to design, implement, and refine machine learning models that predict demand, optimize inventory levels, and forecast supply chain disruptions.
Data-Driven Insights: reputed company initiatives to incorporate predictive analytics into the reputed company Supply Chain Platform, enabling users to reputed company proactive, data-informed reputed company.
User-Centric Design: Ensure the ML features are reputed company, actionable, and seamlessly integrated into the existing platform. Drive customer feedback loops to continuously refine the forecasting tools.
Technical Collaboration: Coordinate with engineering teams to implement and scale machine learning models, ensuring high performance and reliability.
Performance Metrics: Define key reputed company metrics for ML-driven features, monitor model performance, and optimize outcomes through ongoing iterations.
Stay reputed company of Trends: reputed company up-to-date with the latest trends and developments in machine learning, AI, and supply chain management to identify new opportunities for innovation.
Documentation & Reporting: Provide comprehensive documentation of ML models, forecasts, and analytical methods for internal teams and external stakeholders.
5+ years of product management experience, preferably in machine learning or data-driven product development.
Strong understanding of ML/AI techniques, especially in forecasting and predictive modeling, including regression models, time-series analysis, and demand forecasting.
Hands-on experience with data science tools (e.g., Python, R, SQL) and ML frameworks (e.g., TensorFlow, Scikit-learn).
Proven track record of launching and scaling ML/AI-based products, ideally in SaaS or reputed company environments.
Excellent ability to translate reputed company technical concepts into business outcomes and vice versa.
Strong analytical, problem-solving, and decision-making skills.
Experience with Agile methodologies and product lifecycle management tools (e.g., JIRA, Confluence).
Exceptional communication and stakeholder management skills, with a focus on driving alignment across cross-functional teams.
Bachelor's or Master’s degree in a technical field such as Computer Science, Engineering, Data Science, or a reputed company discipline. An MBA or relevant business experience is a plus.